We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)
☆103Mar 29, 2023Updated 3 years ago
Alternatives and similar repositories for Awesome-Causal-Papers
Users that are interested in Awesome-Causal-Papers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Here is a list of papers related to causal reinforcement learning, and I hope you can submit relevant missing papers in the issue.☆19Jan 23, 2024Updated 2 years ago
- HACSurv: A Hierarchical Copula-based Approach for Survival Analysis with Dependent Competing Risks☆14Jun 6, 2026Updated 3 months ago
- [SDM'23] ML4C: Seeing Causality Through Latent Vicinity☆14Nov 9, 2022Updated 3 years ago
- Multi-Instance Causal Representation Learning☆24Nov 7, 2024Updated last year
- [NeurIPS 2024] "Discovery of the Hidden World with Large Language Models"☆32Dec 2, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Experiments to reproduce results in Interventional Causal Representation Learning.☆31Feb 1, 2023Updated 3 years ago
- Repo of "Large Language Model-based Human-Agent Collaboration for Complex Task Solving(EMNLP2024 Findings)"☆34Sep 20, 2024Updated last year
- Causal Neural Nerwork☆165Sep 26, 2025Updated 11 months ago
- [NAACL 2025 Demo Track] GenSim: A General Social Simulation Platform with Large Language Model based Agents☆87Dec 14, 2024Updated last year
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆27Jun 22, 2023Updated 3 years ago
- RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.☆41Mar 3, 2023Updated 3 years ago
- ☆26Feb 16, 2022Updated 4 years ago
- 📚 A collection of awesome Causality in ST data papers.☆66Mar 21, 2026Updated 5 months ago
- This is an implementation for our paper "Addressing Confounding Feature Issue for Causal Recommendation" based on PyTorch.☆20Jun 15, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A list of papers regarding generalization in (deep) reinforcement learning☆11Aug 13, 2023Updated 3 years ago
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆31Jan 19, 2023Updated 3 years ago
- TaskMet Task-driven Metric Learning for Model Learning☆21Feb 9, 2024Updated 2 years ago
- ☆17May 12, 2025Updated last year
- ☆18May 19, 2025Updated last year
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Nov 21, 2022Updated 3 years ago
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆515Mar 3, 2023Updated 3 years ago
- DGCIT: Double Generative Adversarial Networks for Conditional Independence Testing☆11Nov 22, 2023Updated 2 years ago
- An index of algorithms for learning causality with data☆3,281Jan 22, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A curated list of causal reinforcement learning resources.☆112Dec 16, 2023Updated 2 years ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆752Nov 23, 2022Updated 3 years ago
- TensorFlow implementation of "A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Le …☆16Jul 2, 2022Updated 4 years ago
- Causal Imitative Model official code☆18Jan 30, 2022Updated 4 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Nov 27, 2022Updated 3 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆27Feb 15, 2024Updated 2 years ago
- ☆11Apr 5, 2024Updated 2 years ago
- CausalDisco contains baseline algorithms and analytics tools for Causal Discovery. The package can be installed by running `pip install C…☆18Jun 16, 2026Updated 2 months ago
- ☆22Nov 5, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆21Nov 21, 2022Updated 3 years ago
- ☆69Jun 11, 2025Updated last year
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆132Mar 24, 2023Updated 3 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆21Nov 9, 2016Updated 9 years ago
- 关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记☆1,243Dec 14, 2023Updated 2 years ago
- Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation (ICML 2024)☆15Jul 19, 2024Updated 2 years ago
- [NAACL 25 main] Awesome LLM Causal Reasoning is a collection of LLM-based casual reasoning works, including papers, codes and datasets.☆127Apr 11, 2026Updated 4 months ago